# MagNET inference dependencies (CPU; tested on Apple Silicon arm64 and Linux x86-64).
#
# Two non-obvious points are baked in below:
#   1. torch_scatter and torch_cluster are NOT on plain PyPI for macOS arm64. They come
#      from the PyG wheel index, which is keyed to the EXACT torch version. The
#      --find-links line points pip at the matching prebuilt wheels for torch 2.5.0 + CPU.
#   2. torch_geometric is PINNED to 2.6.x. From 2.7 onward, radius_graph requires pyg-lib
#      (which has no Apple-Silicon wheel); 2.6.x still dispatches radius_graph to
#      torch_cluster, which is what the model needs.
#
# Install torch first, then this file, or just run this file twice if a fresh
# environment resolves torch_scatter before torch:
#   pip install torch==2.5.0
#   pip install -r requirements.txt
#
# On a Linux machine with CUDA, `pip install torch==2.5.0` defaults to the multi-gigabyte GPU build.
# This is a CPU stack, so install the CPU build explicitly first:
#   pip install torch==2.5.0 --index-url https://download.pytorch.org/whl/cpu

--find-links https://data.pyg.org/whl/torch-2.5.0+cpu.html

torch==2.5.0
torch_scatter
torch_cluster
torch_geometric==2.6.1
pytorch_lightning>=2.0
e3nn>=0.5
numpy

# Only needed to run the bundled examples/tests that read the .hdf5 datasets
# (the model itself does not import h5py):
h5py